Skip to content

0.2.3

Compare
Choose a tag to compare
@achoum achoum released this 27 Jan 19:24
· 473 commits to main since this release

Features

  • Honest Random Forests (also work with Gradient Boosted Tree and CART).
  • Can train Random Forests with example sampling without replacement.
  • Add support for Focal Loss with Gradient Boosted Trees.
  • Add support for MacOS.

Fixes

  • Incorrect default evaluation of categorical split with uplift tasks. This
    was making uplift models with missing categorical values perform worst, and
    made the inference of uplift model possibly slower.
  • Fix pd_dataframe_to_tf_dataset on Pandas dataframe not containing arrays.